Instructions to use JAVMULLA/patents_classifier2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JAVMULLA/patents_classifier2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JAVMULLA/patents_classifier2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("JAVMULLA/patents_classifier2") model = AutoModelForSequenceClassification.from_pretrained("JAVMULLA/patents_classifier2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:54cd81dda3eca4b13a56d5a31c5828bb86fe902854281563acfbf9ae94d56821
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size 503706960
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